What procedure(s) is a quality control procedure a registrar might implement to verify abstracted cancer data?

A quality control procedure for verifying abstracted cancer data primarily focuses on ensuring the accuracy and reliability of the information captured in cancer registries. The selected option highlights essential methods that a registrar might utilize in this verification process.

Reviewing the results of computer edit checks is a critical step as these checks help identify potential errors or inconsistencies in the data entries when compared to standardized criteria. This automated step provides an initial level of quality assurance by flagging data that requires further review.

Performing visual reviews of abstracts by the registry trainer adds an important layer of oversight. This human aspect of quality control allows for the identification of nuances or context that an automated system might overlook, ensuring that the data reflects accurate clinical information and adheres to coding guidelines.

Implementing reabstracting audits serves as a proactive approach to verify the accuracy of the original abstracted data. By re-evaluating a sample of cases, the registrar can assess the conformity of data entries with required standards and ascertain the level of agreement between abstracts.

Together, these actions constitute a comprehensive quality control procedure, focusing on multiple levels of data verification and enhancing the overall integrity of the cancer registry.

The other choices either do not focus on the verification of abstracted data or represent processes that are not principally about